Integrating MCDA, CE, LCA, and ANN, this research evaluates bio-based retrofitting approaches, promoting sustainability in ...
For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...
A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...
A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...
Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast cancer care. While chemotherapy can reduce the risk of recurrence, most ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
It is being envisioned that the transition toward 6G networks would require a paradigm shift where in addition to the concept of "connected things" the ...
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